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Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model.
Holler, Sonja; Kübler, Daniel; Conrad, Olaf; Schmitz, Oliver; Bonannella, Carmelo; Hengl, Tomislav; Böhner, Jürgen; Günter, Sven; Lippe, Melvin.
Afiliación
  • Holler S; Thünen Institute of Forestry, Hamburg, Germany.
  • Kübler D; Center for Earth System Research and Sustainability (CEN), Hamburg University, Hamburg, Germany.
  • Conrad O; Thünen Institute of Forestry, Hamburg, Germany.
  • Schmitz O; Center for Earth System Research and Sustainability (CEN), Hamburg University, Hamburg, Germany.
  • Bonannella C; Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands.
  • Hengl T; OpenGeoHub, Wageningen, The Netherlands.
  • Böhner J; Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands.
  • Günter S; OpenGeoHub, Wageningen, The Netherlands.
  • Lippe M; Center for Earth System Research and Sustainability (CEN), Hamburg University, Hamburg, Germany.
PLoS One ; 19(2): e0297439, 2024.
Article en En | MEDLINE | ID: mdl-38306349
ABSTRACT
The impacts of the Anthropocene on climate and biodiversity pose societal and ecological problems that may only be solved by ecosystem restoration. Local to regional actions are required, which need to consider the prevailing present and future conditions of a certain landscape extent. Modeling approaches can be of help to support management efforts and to provide advice to policy making. We present stage one of the LaForeT-PLUC-BE model (Landscape Forestry in the Tropics-PCRaster Land Use Change-Biogeographic & Economic model; in short LPB) and its thematic expansion module RAP (Restoration Areas Potentials). LPB-RAP is a high-resolution pixel-based scenario tool that relies on a range of explicit land use types (LUTs) to describe various forest types and the environment. It simulates and analyzes future landscape configurations under consideration of climate, population and land use change long-term. Simulated Land Use Land Cover Change (LULCC) builds on dynamic, probabilistic modeling incorporating climatic and anthropogenic determinants as well as restriction parameters to depict a sub-national regional smallholder-dominated forest landscape. The model delivers results for contrasting scenario settings by simulating without and with potential Forest and Landscape Restoration (FLR) measures. FLR potentials are depicted by up to five RAP-LUTs. The model builds on user-defined scenario inputs, such as the Shared Socioeconomic Pathways (SSP) and Representative Concentration Pathways (RCP). Model application is here exemplified for the SSP2-RCP4.5 scenario in the time frame 2018-2100 on the hectare scale in annual resolution using Esmeraldas province, Ecuador, as a case study area. The LPB-RAP model is a novel, heuristic Spatial Decision Support System (SDSS) tool for smallholder-dominated forest landscapes, supporting near-time top-down planning measures with long-term bottom-up modeling. Its application should be followed up by FLR on-site investigations and stakeholder participation across all involved scales.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Alemania